S. Mammì
- Pathology and Forensic Medicine top 5%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Rheumatology top 10%
- Biomedical Engineering
- Co-authors
- Massimo FilippiA. CampiGiancarlo ComiMark A. HorsfieldVittorio MartinelliN. CanalGıancarlo ComıTarek Yousry
- Topics
- Multiple Sclerosis Research Studies (8 papers)Ultrasound Imaging and Elastography (4 papers)Moyamoya disease diagnosis and treatment (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
S. Mammì
13 papers receiving 502 citations
Peers
Comparison fields: 5 of 76
- Pathology and Forensic Medicine 341
- Neurology 167
- Radiology, Nuclear Medicine and Imaging 148
- Rheumatology 125
- Biomedical Engineering 91
Countries citing papers authored by S. Mammì
This map shows the geographic impact of S. Mammì's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Mammì with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mammì more than expected).
Fields of papers citing papers by S. Mammì
This network shows the impact of papers produced by S. Mammì. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Mammì. The network helps show where S. Mammì may publish in the future.
Co-authorship network of co-authors of S. Mammì
This figure shows the co-authorship network connecting the top 25 collaborators of S. Mammì. A scholar is included among the top collaborators of S. Mammì based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Mammì. S. Mammì is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 1 | |
| 3 | Characteristic MR lesion pattern and correlation of T1 and T2 lesion volume with neurologic and neuropsychological findings in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). | 58 |
| 4 | 31 | |
| 5 | 144 | |
| 6 | 64 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 83 | |
| 13 | 2 | |
| 14 | CORRELAZIONI TRA P300 UDITIVA, RISONANZA MAGNETICA DELL'ENCEFALO E TEST NEUROPSICOLOGICI NELLA SCLEROSI MULTIPLA | 0 |
About S. Mammì
S. Mammì is a scholar working on Pathology and Forensic Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 519 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Ultrasound Imaging and Elastography (4 papers) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (341 citations), Neurology (167 citations) and Rheumatology (125 citations). S. Mammì has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Massimo Filippi, A. Campi, Giancarlo Comi, Mark A. Horsfield, Vittorio Martinelli, N. Canal, Gıancarlo Comı, Tarek Yousry, M Reiser and Corrado Baratti. Their work appears in journals such as Brain, Annals of Neurology and Journal of Neurology Neurosurgery & Psychiatry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.